Provides a deep learning model for the citation prediction task. Citeomatic requires a PDF or abstract of a paper to provide citation recommendations. The Citeomatic model uses a fairly standard siamese network for computing textual similarity, with some additions to reflect the particular use case. For debugging purposes, it logs metadata about the uploaded paper (title, abstract, authors and references). It does not log or store the full text of any uploaded paper.

Type:

Web

Citeomatic specifications

Unique identifier:

OMICS_16274

Restrictions to use:

None

Output data:

The recommended papers users might want to cite.

Stability:

Alpha

Interface:

Web user interface

Input data:

Details about the user's paper.

Computer skills:

Basic

Maintained:

Yes

Citeomatic support

Maintainer

Citeomatic Team
<>

forum

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